arXiv 2003.115292020-03-13cs.CL

Masakhane -- Machine Translation For Africa

Masakhane；Africa（非洲）；The State of African NLP（非洲自然语言处理现状（注：此处“The State of African NLP”更可能是论文章节标题而非机构，根据提取规则应忽略，原HTML中作者机构仅明确出现“Masakhane”“masakhane.io”“Africa”，但“Africa”为地理概念非机构，故仅保留“Masakhane”和“masakhane.io”为机构）}]}（注：经再次核查，原HTML中作者机构明确为“Affiliation: Masakhane, Africa”，“Affiliation: masakhane.io”，其中“Africa”属于地理概念非机构，因此仅保留“Masakhane”和“masakhane.io”为作者所属机构，修正后输出应为{）

Iroro Orife, Julia Kreutzer, Blessing Sibanda, Daniel Whitenack, Kathleen Siminyu, Laura Martinus, Jamiil Toure Ali, Jade Abbott, Vukosi Marivate, Salomon Kabon… 展开作者

Iroro Orife, Julia Kreutzer, Blessing Sibanda, Daniel Whitenack, Kathleen Siminyu, Laura Martinus, Jamiil Toure Ali, Jade Abbott, Vukosi Marivate, Salomon Kabongo, Musie Meressa, Espoir Murhabazi, Orevaoghene Ahia, Elan van Biljon, Arshath Ramkilowan, Adewale Akinfaderin, Alp Öktem, Wole Akin, Ghollah Kioko, Kevin Degila, Herman Kamper, Bonaventure Dossou, Chris Emezue, Kelechi Ogueji, Abdallah Bashir

备注：: Accepted for the AfricaNLP Workshop, ICLR 2020

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英文摘要：

Africa has over 2000 languages. Despite this, African languages account for a small portion of available resources and publications in Natural Language Processing (NLP). This is due to multiple factors, including: a lack of focus from government and funding, discoverability, a lack of community, sheer language complexity, difficulty in reproducing papers and no benchmarks to compare techniques. To begin to address the identified problems, MASAKHANE, an open-source, continent-wide, distributed, online research effort for machine translation for African languages, was founded. In this paper, we discuss our methodology for building the community and spurring research from the African continent, as well as outline the success of the community in terms of addressing the identified problems affecting African NLP.

机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。